Velrim
Extract data from documents. Know which fields to trust.
What it does
Extraction APIs return valid JSON even when the value isn't in the document. Nothing throws. The wrong number just lands in your database. Velrim gives every field a confidence score you can check, so you know what to use as-is and what to send to a human. Zod or Pydantic schema in, typed data with bounding boxes out. We benchmarked ourselves against Gemini, ChatGPT and Mistral on 124 real documents and published all outputs, including where we lose. $0.02/page. ~500 pages free, no card.
The document extraction API. Define a Zod or Pydantic schema, get back a typed object with bounding-box grounding and calibrated confidence on every field.
Define a Zod or Pydantic schema. Get back a typed object with bounding-box grounding and calibrated confidence on every field. The same result, validated into your own Zod or Pydantic types. No JSON to map, no any to wrangle. Plain JSON Schema works everywhere: in both SDKs and over raw HTTP. Define a schema, send a document, get a typed object back. Your first extraction is a curlfrom velrim.com
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Tabstack Structured ExtractionJun 2026 · ▲199Extract web data into structured JSON, no scraper required.
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